A Comparative Study on Time Series Prediction of Photovoltaic-Power Production Through Classic Statistical Techniques and Short-Term Memory Networks
The inherent variability in the power production of renewable energy sources (RES) limits the effectiveness of energy management systems (EMS) since optimal dispatch on power networks highly depends on the accuracy of predictors associated with the energy output and load demand. Consequently, power...
主要な著者: | , |
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フォーマット: | ARTÍCULO DE CONFERENCIA |
言語: | es_ES |
出版事項: |
IEEE
2024
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主題: | |
オンライン・アクセス: | http://dspace.ucuenca.edu.ec/handle/123456789/44125 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177461803&doi=10.1109%2fCoDIT58514.2023.10284303&partnerID=40&md5=2735e7893af85e561ae3e1df8573673a |